2 citations · 3 across the 4 of their papers we have counts for
4 papers
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks
Shusuke Kobayashi, Susumu Shirayama
A method to predict time-series using multiple deep learners and a Bayesian network is proposed. In this study, the input explanatory variables are Bayesian network nodes that are…
A New Analysis Method for Simulations Using Node Categorizations
Tomoyuki Yuasa, Susumu Shirayama
Most research concerning the influence of network structure on phenomena taking place on the network focus on relationships between global statistics of the network structure and c…
Eigenmode of Decision-By-Majority Process on Complex Networks
Makoto Uchida, Susumu Shirayama
The nature of dynamics of opinion formation modeled as a decision-by-majority process in complex networks is investigated using eigenmode analysis. Hamiltonian of the system is def…
Effect of initial conditions on Glauber dynamics in complex networks
Makoto Uchida, Susumu Shirayama
The effect of initial spin configurations on zero-temperature Glauber spin dynamics in complex networks is investigated. In a system in which the initial spins are defined by centr…